AWS Machine Learning Blog

JANUARY 7, 2025

When using the FAISS adapter, translation units are stored into a local FAISS index along with the metadata. Also note the completion metrics on the left pane, displaying latency, input/output tokens, and quality scores. The request is sent to the prompt generator. To test vector search, use the vector store option (using FAISS).

Large Language Models 97

Large Language Models Prompt Engineering Prompt Engineer Metadata 97

AWS Machine Learning Blog

MARCH 2, 2023

Transformer-based language models such as BERT ( Bidirectional Transformers for Language Understanding ) have the ability to capture words or sentences within a bigger context of data, and allow for the classification of the news sentiment given the current state of the world. The code can be found on the GitHub repo. eks-create.sh

BERT 85

BERT Deep Learning Metadata Auto-complete 85

AWS Machine Learning Blog

MAY 8, 2023

With kernel auto-tuning, the engine selects the best algorithm for the target GPU, maximizing hardware utilization. Input and output – These fields are required because NVIDIA Triton needs metadata about the model. It optimizes the graph to minimize the memory footprint by freeing unnecessary memory and efficiently reusing it.

ML 94

ML BERT Deep Learning Auto-complete 94

AWS Machine Learning Blog

MARCH 6, 2023

Large language models (LLMs) are neural network-based language models with hundreds of millions ( BERT ) to over a trillion parameters ( MiCS ), and whose size makes single-GPU training impractical. This results in faster restarts and workload completion. Cluster update is currently enabled for P and G GPU-based instance types.

Large Language Models 91

Large Language Models LLM Machine Learning ML 91

Snorkel AI

MARCH 2, 2023

It came to its own with the creation of the transformer architecture: Google’s BERT, OpenAI, GPT2 and then 3, LaMDA for conversation, Mina and Sparrow from Google DeepMind. Others, toward language completion and further downstream tasks. So there’s obviously an evolution. Really quickly, LLMs can do many things.

Large Language Models 52

Large Language Models Prompt Engineering Prompt Engineer Neural Network 52

Snorkel AI

MARCH 2, 2023

It came to its own with the creation of the transformer architecture: Google’s BERT, OpenAI, GPT2 and then 3, LaMDA for conversation, Mina and Sparrow from Google DeepMind. Others, toward language completion and further downstream tasks. So there’s obviously an evolution. Really quickly, LLMs can do many things.

Large Language Models 52

Large Language Models Prompt Engineering Prompt Engineer Neural Network 52